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arXiv 2602.00679quant-ph
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基于稀疏采样的高分辨率宽场磁成像

High-resolution wide-field magnetic imaging with sparse sampling using nitrogen-vacancy centers

College of Physics and Optoelectronic Engineering, Taiyuan University of Technology（太原理工大学物理与光电工程学院）；Shanxi Key Laboratory of Precision Measurement Physics, Taiyuan University of Technology（太原理工大学精密测量物理学山西省重点实验室）；Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, and Shanxi Province, Taiyuan University of Technology（太原理工大学先进换能器与智能控制系统教育部和山西省重点实验室）

Keqing Liu, Jiazhao Tian, Bokun Duan, Hao Zhang, Kangze Li, Guofeng Zhang, Fedor Jelezko, Ressa S. Said, Jianming Cai, Liantuan Xiao

备注：
15 pages, 7 figures
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AI总结：

利用稀疏采样策略，通过仅25个测量点实现高分辨率宽场磁成像，提升磁场灵敏度并拓展磁成像架构应用

摘要：

金刚石中的氮空位（NV）中心能够实现定量磁成像，但实际应用中必须在空间分辨率与采集时间（从而每像素灵敏度）之间进行权衡。单个NV扫描磁度计能够实现真正的纳米级分辨率，但通常需要缓慢的像素对像素采集。同时，宽场NV集体显微镜在大视野上提供并行读取，但受限于光学衍射极限和传感器与样品的距离。在此，我们提出了一种稀疏采样策略，用于从少量测量中重建高分辨率宽场图像。使用模拟的NV集体检测交流磁场，我们证明均值调整的贝叶斯估计（MABE）框架可以从仅25个采样点中重建10000像素图像，对于代表性的平滑磁场分布，SSIM值超过0.999，而优化的动力学去耦脉冲序列使磁场灵敏度提高了约两倍。该方法进一步阐明了采样模式和采样密度如何影响重建准确性，并提出了一条通往更快、更可扩展的磁成像架构的道路，可能扩展到点扫描NV传感器和其他磁度计平台，如SQUIDs、霍尔探头和磁隧道结。

英文摘要：

Nitrogen-vacancy (NV) centers in diamond enable quantitative magnetic imaging, yet practical implementations must balance spatial resolution against acquisition time (and thus per-pixel sensitivity). Single-NV scanning magnetometry achieves genuine nanoscale resolution, nonetheless requires typically a slow pixel-by-pixel acquisition. Meanwhile, wide-field NV-ensemble microscopy provides parallel readout over a large field of view, however is jointly limited by the optical diffraction limit and the sensor-sample standoff. Here, we present a sparse-sampling strategy for reconstructing high-resolution wide-field images from only a small number of measurements. Using simulated NV-ensemble detection of ac magnetic fields, we show that a mean-adjusted Bayesian estimation (MABE) framework can reconstruct 10000-pixel images from only 25 sampling points, achieving SSIM values exceeding 0.999 for representative smooth field distributions, while optimized dynamical-decoupling pulse sequences yield an approximately twofold improvement in magnetic-field sensitivity. The method further clarifies how sampling patterns and sampling density affect reconstruction accuracy and suggests a route toward faster and more scalable magnetic-imaging architectures that may extend to point-scanning NV sensors and other magnetometry platforms, such as SQUIDs, Hall probes, and magnetic tunnel junctions.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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